Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling-Reference-Cited by-同舟云学术

Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling

Published:2020-12-11 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Deng Yangqing¹²,He Yinqiu³,Xu Gongjun³,Pan Wei¹^ORCID

Affiliation:

1. Division of Biostatistics University of Minnesota Minneapolis Minnesota

2. Department of Mathematics University of North Texas Denton Texas

3. Department of Statistics University of Michigan Ann Arbor Michigan

Funder

National Institutes of Health

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13407

Reference37 articles.

1. Efficient Monte Carlo for high excursions of Gaussian random fields

2. Stochastic Simulation: Algorithms and Analysis

3. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits

4. Insights into Colon Cancer Etiology via a Regularized Approach to Gene Set Analysis of GWAS Data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies;PLOS Computational Biology;2021-08-02

2. Model Checking via Testing for Direct Effects in Mendelian Randomization and Transcriptome-wide Association Studies;2021-07-10